Machine Learning is Fun!

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Machine learning is the idea that there are generic algorithms that can tell you something interesting about a set of data without you having to write any custom code specific to the problem. Instead of writing code, you feed data to the generic algorithm and it builds its own logic based on the data. For example, one kind of algorithm is a classification algorithm. It can put data into different groups. The same classification algorithm used to recognize handwritten numbers could also be used to classify emails into spam and not-spam without changing a line of code.


Machine Learning is Fun!

#artificialintelligence

Machine learning is the idea that there are generic algorithms that can tell you something interesting about a set of data without you having to write any custom code specific to the problem. Instead of writing code, you feed data to the generic algorithm and it builds its own logic based on the data. For example, one kind of algorithm is a classification algorithm. It can put data into different groups. The same classification algorithm used to recognize handwritten numbers could also be used to classify emails into spam and not-spam without changing a line of code.


Machine Learning is Fun!

#artificialintelligence

Machine learning is the idea that there are generic algorithms that can tell you something interesting about a set of data without you having to write any custom code specific to the problem. Instead of writing code, you feed data to the generic algorithm and it builds its own logic based on the data. For example, one kind of algorithm is a classification algorithm. It can put data into different groups. The same classification algorithm used to recognize handwritten numbers could also be used to classify emails into spam and not-spam without changing a line of code. It's the same algorithm but it's fed different training data so it comes up with different classification logic.


Ipsos MORI Connect Light Bites Big Data and Machine Learning: where are we heading to?

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Today's consumers are a tough nut to crack. They tend to look around before they buy, talk to their entire social network about their purchases, demand to be treated as unique and want to be sincerely thanked for buying products. Big Data allows us to profile these increasingly vocal and inconstant little'tyrants' in a far-reaching manner so that we can engage in an almost one-on-one, real-time conversation with them. This is not actually a luxury. If we don't treat them like they want to, they will leave us in the blink of an eye.


The Beginner's Guide to Artificial Intelligence For Educators

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This is the second in a 7-part series on the Future of Learning. You can read the first post here, and join the discussion on our Facebook page: The Future of Learning. Artificial intelligence is already all around us. Any time a device, machine, or digital object has cognitive functioning abilities we are witnessing artificial intelligence. Think about thermostats like Nest, that know what temperature the house should be without it being input by a human.